Natural Language Processing

6 ECTS credits
150 h study time

Offer 1 with catalog number 4013071FNR for all students in the 1st semester at a (F) Master - specialised level.

Semester

1st semester

Enrollment based on exam contract

Impossible

Grading method

Grading (scale from 0 to 20)

Can retake in second session

Yes

Enrollment Requirements

Students must have followed ‘Machine Learning’ or 'Techniques of Artificial Intelligence', before they can enroll for ‘Natural Language Processing’.

Taught in

English

Partnership Agreement

Under agreement for exchange of courses

Faculty

Faculty of Sciences and Bioengineering Sciences

Department

Computer Science

Educational team

Paul Van Eecke (course titular)

Activities and contact hours

26 contact hours Lecture
26 contact hours Seminar, Exercises or Practicals

Course Content

This course investigates language from an artificial intelligence perspective, focussing on its role in communication. In essence, we will study how artificial agents are able to (learn to) understand the meaning underlying natural language utterances (comprehension), as well as to express their ideas in the form of linguistic expressions (production).

We will start by looking at how all linguistic knowledge can be described in terms of form-meaning mappings and how such mappings can be formalised and implemented. In order to do this, we will consider a range of well-known AI concepts and techniques, including knowledge representation, problem solving through search, unification, meta-level architectures and computational reflection.

Additional info

Beuls, K. & Van Eecke, P. (2022). Computational Construction Grammar: a Practical Introduction. New York: Routledge.

Learning Outcomes

Algemene competenties

The student does not only have theoretic knowledge of the topics under consideration but also practical hands-on experience.

Grading

The final grade is composed based on the following categories:
Oral Exam determines 100% of the final mark.

Within the Oral Exam category, the following assignments need to be completed:

Oral examination with a relative weight of 1 which comprises 100% of the final mark.

Additional info regarding evaluation

None.

Allowed unsatisfactory mark

The supplementary Teaching and Examination Regulations of your faculty stipulate whether an allowed unsatisfactory mark for this programme unit is permitted.

Academic context